Dr Mahyar Osanlouy

BSc Physiology, BSc (Hons) Medical Science, GradDipSci Computer Science, PhD Bioengineering

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Research Fellow


Mahyar Osanlouy is a research fellow at the Auckland Bioengineering Institute. Mahyar has an interdisciplinary background in physiology, neuroscience, computer science, mathematical physics, and bioengineering. His main research interest is theoretical and computational neuroscience. He is currently establishing the first research group at the institute in this field.

Mahyar is also a lead scientist of the SPARC project funded by the US National Institutes of Health. Additionally, he works closely with the researchers of the Virtual Brain Project.

Before, Mahyar completed his doctoral research between 2013 and 2017 at the Lungs and Respiratory System Laboratory of the institute. He was the recipient of the doctoral scholarship from the School of Medicine Foundation of the University in recognition of his academic merit. In March 2018, he took up a position at Soul Machines as a research engineer, working on the development of biologically-plausible brain models.

Mahyar first joined the institute in 2012 as a research intern for the Millar Inc.

Research | Current

  • Theoretical & Computational Neuroscience
    • Exploring the theoretical and computational principles governing various aspects of the brain and nervous system. Specifically, I’d like to know how our brains perceive and experience the surrounding world, and how do space and time influence memory, vision, sensory-motor control, and our perceptions of learning.
  • Stimulating Peripheral Activity to Relieve Conditions (SPARC)
    • Studying the role of the autonomic nervous system in regulating the organ physiology. Particularly, we develop computational methods to map the autonomic neurons in the body.
  • Virtual Brain Project
    • Contributing to the development of research methods for studying various aspects of the brain.
  • Seemurgh
    • Investigating methods for learning physics with artificial neural networks.
  • Lungs & Respiratory System
    • Studying the impact of age-related lung shape changes on lung function and health.
  • Medical Imaging Platform
    • Developing a comprehensive platform for advanced AI-driven biomedical image processing and analysis.
  • COVID-19 Modeling
    • Developing a multi-scale modeling framework to understand the behavior and transmission rate of the COVID-19 virus using agent-based-seir-stochastic modeling approach.



  • 2017: Winner of BIRU Image Competition's Visualisation and Analysis Award
  • 2017: EM Steer and IM Booth Fund Fellowship
  • 2015: Winner of SPARK Ideas Challenge Commercial Prize
  • 2013: Evelyn May Steer Estate Doctoral Scholarship

Areas of expertise

  • Theoretical & computational neuroscience
  • Bioengineering
  • Computational physiology & modeling
  • Artificial intelligence

Selected publications and creative works (Research Outputs)

  • Zhang, Y., Osanlouy, M., Clark, A. R., Kumar, H., King, C., Wilsher, M. L., ... Tawhai, M. H. (2019). Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape. Paper presented at Conference on Medical Imaging: Image Processing, San Diego, CA. 19 February - 21 February 2019. MEDICAL IMAGING 2019: IMAGE PROCESSING. (pp. 10). 10.1117/12.2512642
    Other University of Auckland co-authors: Alys Clark, Haribalan Kumar, Merryn Tawhai
  • Osanlouy, M. (2018). Statistical Shape Analysis to Quantify Lung Structure-Function Relationships over the Adult Lifespan The University of Auckland. ResearchSpace@Auckland.
  • Clark, A. R., Osanlouy, M., Kumar, H., Yang, Y., & Tawhai, M. H. (2016). A statistically averaged model of the lungs to predict physiology from imaging. Paper presented at Physiology 2016, Dublin, Ireland. 29 July - 31 July 2016. Proceedings of The Physiological Society.
    Other University of Auckland co-authors: Alys Clark, Haribalan Kumar, Merryn Tawhai
  • Tawhai, M., Osanlouy, M., Zhang, Y., King, C., Wilsher, M., Milne, D., ... Clark, A. (2016). A statistical and biophysical model of the young-to-old adult human lung for predicting function from structure. Paper presented at Biomedical Engineering Society, Minneapolis, Minnesota. 5 October - 8 October 2016. Biomedical Engineering Society (BMES). Related URL.
    Other University of Auckland co-authors: Merryn Tawhai, Margaret Wilsher, Alys Clark
  • Osanlouy, M., Tawhai, M., Kumar, H., Clark, A., & Hoffman, E. (2015). QUANTIFYING AGE-RELATED CHANGES IN PULMONARY LOBAR GEOMETRY. Paper presented at Thoracic Society Australia New Zealand Australian New Zealand Society Respiratory Science Annual Scientific Meeting 2015, Queensland, AUSTRALIA. 27 March - 1 April 2015. RESPIROLOGY. (pp. 1).
    Other University of Auckland co-authors: Merryn Tawhai, Haribalan Kumar, Alys Clark
  • Osanlouy, M., Kumar, H., Clark, A. R., Malcolm, D. T. K., Hoffman, E. A., & Tawhai, M. H. (2014). Quantifying the difference in lung shape at FRC between normal old and young subjects. Paper presented at American Thoracic Society 2014 International Conference, San Diego, California, USA. 16 May - 21 May 2014. Related URL.
    Other University of Auckland co-authors: Haribalan Kumar, Merryn Tawhai


Contact details

Primary office location

Level 6, Room 601
New Zealand

Social links

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